Upon successful completion of the course, future speech and language therapists are expected to be able to:

• Describe and use technology applications and software in the context of assessment and therapy
• Describe and use alternative and augmentative technology
• Use the computer to improve the language and reading skills of children and adults
• Use specialized software to improve communication skills in children and adults
• Adapt and use software to meet the client's needs
• Optimize the clinical use of computers

• Adaptation to new situations
• Application of knowledge in practice
• Decision making
• Demonstration of social, professional and ethical responsibility
• Efficient search, analysis, and synthesis of data and information using the essential technologies
• Exercise criticism and self-criticism
• Independent Assignment
• Promotion of free, creative and inductive thinking
• Respect for diversity and multiculturalism

Course Description

This course introduces the student to the applications of computer science in speech and language therapy. Specifically, it aims to familiarize students with basic concepts and technologies that can be utilized for assessment and intervention purposes, such as applications using digital signal processing, voice recognition, speech recognition and synthesis by computers, specialized clinical software, and alternative communication systems. Additionally, models of systems for the perception of auditory and semantic signals are presented.

The course covers the following topics related to speech and language therapy practice:

• Information and Communication Technologies (ICT) in general
• The potential of technology in clinical speech and language therapy practice
• Voice technologies
• Computer applications
• Specialized software
• Computer-assisted learning
• Creation of computer-based diagnostic and computer-based intervention tools
• Tele-diagnosis systems
• Assistive and augmentative technology
• Tele-education and distance counselling

• Written assignment. Weight: 20%

• Written examination at the end of the semester, which includes development questions, short-answer questions, and/or closed-ended questions (e.g., multiple choice). Weight: 80%

Language of evaluation: Greek

Relevant information is communicated through the course's e-class platform.

Books

• Σπαντιδάκης, Ι. (2010). Κοινωνιο-γνωσιακά πολυμεσικά περιβάλλοντα μάθησης παραγωγής γραπτού λόγου. Αθήνα: Δάρδανος. Code in Eudoxus [81908]
• Newby, T. J., Stepich, D. A., Lehman, J. D., & Russel, James, D. (2009). Εκπαιδευτική τεχνολογία για διδασκαλία και μάθηση. Θεσσαλονίκη: Επίκεντρο. Code in Eudoxus [14958]
• Γεωργοπούλου,Σ. Χ. (2024). Τεχνολογία  Εναλλακτικής & Επαυξητικής Επικοινωνίας. Αθήνα: Κωνσταντάρας. Code in Eudoxus [133035742]
• Evans, A., Kendall, M., Poatsy, M. A. (2022). Εισαγωγή στην πληροφορική (επιμ. Γ. Σταματίου). Αθήνα: Κριτική. Code in Eudoxus [112692279]

Indicative bibliography for further study

• Federici, S. (Ed.). (2018). Assistive technology assessment handbook (2nd ed.). Boca Raton: CRC Press.
• Τόκης, Ι. Ν., & Τόκη, Ευ. Ι. Πληροφορική της υγείας. Θεσσαλονίκη: Τζιόλα.
• Wendt, O., Quist, R. W., & Lloyd, L. L. (2011). Assistive technology: Principles and applications for communication disorders and special education. Bingley: Emerald.
• Evans Alan, Martin Kendall, Poatsy Mary Anne (2018). Εισαγωγή στην πληροφορική. Αθήνα: Κριτική.

https://eclass.uop.gr/courses/2434/